Abstract B1-32: Genome-wide integrative analysis correlating locus-specific DNA methylation and hydroxymethylation to gene expression in normal prostate cells
Notice bibliographique
Résumé
Abstract Aberrant epigenetic modification in the form of regional hypermethylation and global hypomethylation has been implicated in the dysregulation of gene expression in various cancers, including prostate cancer (PCa). Recently discovered 5-hydroxymethylated marks (5hmC), considered to be key intermediates in the process of DNA demethylation, have also been shown to exhibit significant global loss in solid tumors as compared to normal tissue. Similar to cytosine base methylation (5mC), 5hmC may also play a key role in the regulation of gene expression and, consequently, gene function in PCa. We hypothesize that dynamic interplay between 5mC and 5hmC enrichment in promoter, CpG island, and intragenic regions shows specific association patterns with gene expression. A systematic investigation of these methylation marks may provide novel insights into epigenomic architecture by elucidating novel pathways and candidate genes in prostate tumorigenesis. Using Next Generation Sequencing (NGS), we characterized genome-wide 5mC and 5hmC marks and RNA expression data in a normal prostate tissue-derived representative cell line (RWPE-1). We have completed NGS following methyl-binding protein capture (MBD-seq) and hydroxymethyl-selective chemical labeling (hMe-Seal), and have performed integrative analysis correlating enriched genes stratified by region (intergenic regions proximal to DNase I hypersensitivity sites, as well as promoter, CpG island, and intragenic regions) to expression data obtained from RNA-seq and also validated using publicly available microarray expression data (GEO Accession Number: GSM375783) We divided expression data into equal tiers representing genes with no expression, low expression, and high expression, and have performed pathway-based analysis on genes significantly enriched for either 5mC or 5hmC marks for each tier stratified by gene region. We found gene expression to exhibit a strong positive correlation with core promoter and CpG island hydroxymethylation, with a corresponding negative correlation to methylation of these regions. In contrast, gene expression was found to be positively correlated with both methylation and hydroxymethylation in both intragenic regions and intergenic regions proximal to ENCODE DNase I hypersensitivity sites (GEO Accession Number: GSM1008595), which are associated with open chromatin and may play a role in downstream gene regulation. Interestingly, pathway-based analysis of these stratified tiers, grouped via the Molecular Complex Detection algorithm (MCODE) to identify pathway clusters with high biological significance, showed 5hmC and 5mC enrichment of the same pathways in each expression tier, suggesting a possible co-operative role for intragenic co-expression of these marks in regulating biological pathways. Clustered pathways co-enriched in intragenic 5mC and 5hmC showed strong enrichment in Gene Ontology terms related to core cellular functions within each expression tier, such as ion channel and transport regulation, primary metabolic processes, and protein and RNA binding. Currently, we are investigating these pathways to identify key candidate genes regulated by 5hmC and 5mC marks in normal prostate. This is the first study to correlate locus-specific global 5hmC enrichment to expression in normal prostate cells. Our preliminary analysis has shown correlation between 5hmC and 5mC enrichment in genic, promoter, CpG island, and upstream DNase I hypersensitivity site-proximal regions and expression in RWPE-1 cells. Insights from this model will subsequently be explored via whole-genome differential analysis between normal prostate and PCa to determine the effect of epigenetic alterations in cancer on gene expression. Subsequently, our characterization of key cellular pathways exhibiting dynamic enrichment patterns for 5hmC or 5mC marks will potentially allow us to identify differentially epigenetically modified target genes implicated in prostate cancer tumorigenesis. Citation Format: Shivani N. Kamdar, Linh T. Ho, Ruth Isserlin, Ken J. Kron, Theodorus van der Kwast, Alexandre R. Zlotta, Neil E. Fleshner, Gary Bader, Bharati Bapat. Genome-wide integrative analysis correlating locus-specific DNA methylation and hydroxymethylation to gene expression in normal prostate cells. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr B1-32.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».